Future mobile technology: Channel access mechanism for LTE-LAA using deep learning
The exponential increase of future mobile phone users is resulting in growth of data traffic which is creating a shortage of the licensed spectrum. The scarcity led to the idea of using the unlicensed channel along with the licensed channel in Long Term Evolution (LTE), known as License Assisted Acc...
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Main Authors: | , , , , |
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Format: | Proceedings |
Language: | English English |
Published: |
IEEE
2021
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Subjects: | |
Online Access: | https://eprints.ums.edu.my/id/eprint/31130/1/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning-ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/31130/2/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning.pdf https://eprints.ums.edu.my/id/eprint/31130/ https://ieeexplore-ieee-org.ezproxy.ums.edu.my/stamp/stamp.jsp?tp=&arnumber=9369598 |
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Institution: | Universiti Malaysia Sabah |
Language: | English English |
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https://eprints.ums.edu.my/id/eprint/31130/1/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning-ABSTRACT.pdfhttps://eprints.ums.edu.my/id/eprint/31130/2/Future%20mobile%20technology%2C%20channel%20access%20mechanism%20for%20LTE-LAA%20using%20deep%20learning.pdf
https://eprints.ums.edu.my/id/eprint/31130/
https://ieeexplore-ieee-org.ezproxy.ums.edu.my/stamp/stamp.jsp?tp=&arnumber=9369598